Optimized Allocation of Energy Storage Zones in Distribution Networks Containing High-permeability Photovoltaic Regions
In order to improve the consumption of photovoltaic(PV)in the distribution network and reduce the power quality problems such as voltage fluctuation caused by high penetration distributed PV,based on the typical load day of the whole day node voltage,an optimal distribution method for distributed energy storage system in distribution network is proposed.First,based on the node voltages of the distribution network during a typical load day throughout the day,the optimal value of the collection center k is obtained according to the contour coefficient method,and the K-means clustering algorithm is used to partition the distribution network.Then,a multi-objective optimization model for the optimal allocation of distributed energy storage system in the distribution network is established by taking the objective function of enhancing PV consumption,improving nodal voltage,reducing power loss in the distribution network,and minimizing the comprehensive cost of energy storage investment,and considering the constraints such as nodal power balance,nodal voltage,storage battery charging and discharging,line current,and distributed PV.The objective functions are unified normalized,the weight coefficients of each objective function are determined by hierarchical analysis,the multi-objective function is transformed into a single-objective function,and the frog-jumping algorithm is used to solve the multi-objective capacity optimization model of the energy storage system and determine the optimal capacity of the distributed energy storage.Finally,the proposed energy storage system capacity optimization allocation method is validated with the IEEE-33 node example.
High-permeability photovoltaicsdistributed energy storagezoning optimizationcapacity allocation
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